Summary
Alex Nodeland is a Senior AI Engineer and mathematician with five years of hands-on experience designing high-performance AI systems, LLM-driven products, and scalable backend infrastructure. He has led engineering teams and startups—from co-founding a cloud-based supercomputing emulation company to building an LLM content-copilot and production-grade inference, monitoring, and observability pipelines. Comfortable at the intersection of research and product, Alex applies graph theory and computational math to optimize distributed systems and scheduling, and he has a track record of turning prototype ideas into funded, customer-ready solutions. As a freelance technical strategy consultant he advises on AI and blockchain integration and frequently presents on emerging tech, blending technical depth with business strategy. Based in the United States and rooted in applied mathematics (PhD work), he brings an unusual mix of music/arts-driven creativity and systems-level engineering to solve practical AI problems.
4 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics and Statistics, Computational Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics and Statistics, Computational Applied Mathematics at Stony Brook University